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Paper Citation Record · LEDGER

CEREALS - Cost-Effective REgion-based Active Learning for Semantic Segmentation

As of 14 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 2 inbound Pith citation observations for arXiv:1810.09726.

A citation records a reference. It does not transfer a finding from one paper to another.

pith.paper-citation-record.v1
1810.09726 v1

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 2 of 2 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-14T06:32:32.682623+00:00

measured 2 of 2 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-11T19:40:06.648744Z

measured 0 of 1 external citation measurements

A source-named dated measurement, never combined with another source.

Source: pith, observed 2026-08-06T19:48:33.143126Z

Reference resolution

0 of 0 outbound references displayed

  • verified exact0
  • verified fuzzy0
  • unresolved0
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

No outbound reference observations are available for this paper version.

Pith citing papers

Observation d10624af-6d14-407f-b28c-6bb719ec511b · inbound

Active Learning with Context Sampling and One-vs-Rest Entropy for Semantic Segmentation cites this paper.

Active Learning with Context Sampling and One-vs-Rest Entropy for Semantic Segmentation CEREALS - Cost-Effective REgion-based Active Learning for Semantic Segmentation

Reference 26

Resolution
unresolved
no resolver link, observed 2026-08-11T19:40:06.648744Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T19:40:06.648744Z digest=sha256:2f39ace25bc5289e7e400be66b40558c00653a0bb04cbe3717f11b08ed37da39

Observation 014749f5-4bfc-43b4-8b1a-003ad7983586 · inbound

Learn 3D VQA Better with Active Selection and Reannotation cites this paper.

Learn 3D VQA Better with Active Selection and Reannotation CEREALS - Cost-Effective REgion-based Active Learning for Semantic Segmentation

Reference 19

Resolution
verified exact
local_arxiv, observed 2026-08-06T19:48:33.262047Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-06T19:48:29.233674Z digest=sha256:1d09c4c699f888d01b750974e35339e02a6ab9482cf828830a42669adcf12495